I examined the relation between two inhibitory processes operating on spatial and temporal representations. In two experiments, participants had to detect a peripheral target that was presented after a variable interval following the onset of an uninformative peripheral cue. For the shortest cue-target interval, target detection was faster at the cued than at the uncued location, but this effec...

Two experiments compared the performance of older and younger adults on a task assessing suppression (or negative priming) for location of distractors. A 3rd experiment compared the 2 age groups on suppression for location and identity of distractors such that location was irrelevant to selection and response. Older and younger adults showed location suppression across all experiments. In Exper...

We propose a multiplicative component model for intraday volatility. The model consists of a seasonality factor, as well as a semiparametric and parametric component. The former captures the well-documented intraday seasonality of volatility, while the latter two account for the impact of the state of the limit order book, utilizing an additive structure, and fluctuations around this state by m...

In cooperative multi-agent sequential decision making under uncertainty, agents must coordinate to find an optimal joint policy that maximises joint value. Typical algorithms exploit additive structure in the value function, but in the fullyobservable multi-agent MDP setting (MMDP) such structure is not present. We propose a new optimal solver for transition-independent MMDPs, in which agents c...

Subgroup discovery is a task from the area of Knowledge Discovery in Databases (KDD) that aims at finding interesting subgroups of a population. One problem with subgroup discovery algorithms is that many of them return a very high number of subgroups, including many redundant ones. In this paper, we present an approach to iteratively build up a set of subgroups for a numerical target attribute...

At its heart, this chapter presents a story about the future of manufacturing. This story is based on predictions about the future. Specifically, that (1) increasingly firms of all sizes will have access to high performance computing capabilities that will enable sophisticated modeling and simulation, (2) additive manufacturing will become commercially competitive across a wide range of industr...

We present distance oracles for weighted undirected graphs that return distances of stretch less than 2. For the realistic case of sparse graphs, our distance oracles exhibit a smooth three-way trade-off between space, stretch and query time — a phenomenon that does not occur in dense graphs. In particular, for any positive integer t and for any 1 ≤ α ≤ n, our distance oracle is of size O(m + n...

for centuries, aloe vera has been used by many different cultures. the ancient greeks, the romans, the babylonians, indians and the chinese have all used aloe vera as a medicinal plant. one of the common experimental cancer models is sarcoma-180. when aloe was administered to mice bearing s-180 tumors, the tumor growth was inhibited. aloe vera is a dietary supplement and not a regulated drug. t...

for assessment of portfolio performance, it's crucial to adjust the return by the risk which is taken. so it seems undeniable that for measuring the risk-adjusted return of portfolio, we need an appropriate and developed model for risk and asset pricing. fama & french 3 factor model could explain several return anomalies. recent studies show that capital productivity effects on stock retur...

The purpose of this study was to determine the effect inflation and return on equity (ROE) stock returns manufacturing companies in food beverage sub sector Indonesia 2014-2019. sample used is annual data from 2014 - 2019. Hypothesis testing uses panel regression analysis. population are sub-sector listed Stock Exchange period secondary with documentation method. Before analyzing data, a classi...